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English(EN) AIRoA-0: Long-Horizon, Precise, Cross-Embodiment Manipulation from Handheld Data

AIRoA-0系统从人类手持演示中学习复杂操作

研究人员开发了AIRoA-0,这是一个双臂操作系统,通过手持抓取器记录的超过16,000小时的人类演示进行训练,训练期间不使用任何机器人特定数据。该系统可以执行诸如零件分类、更换机器人真空吸尘器垫和折叠毛巾等复杂任务,在十项任务中的成功率达到78%。AIRoA-0是具身无关的,可以在配备YUBI抓取器的各种机器人上运行,并且该团队正在向公众发布数据集、预训练权重和训练配方。 AI

影响 这项研究可以通过利用现成的人类演示数据,实现更具适应性和效率的机器人操作系统。

排序理由 该项目描述了一篇关于新型机器人操作AI系统的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AIRoA-0系统从人类手持演示中学习复杂操作

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该项目描述了一篇关于新型机器人操作AI系统的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    AIRoA-0:长时域、精确、跨载体操控,源自手持数据

    AIRoA-0 (A-0) is a bimanual manipulation system learned from 16,151 hours of handheld demonstrations, with no robot data collected at any stage. The demonstrations are recorded with YUBI, our open-source handheld gripper, which lets people record manipulation data anywhere with n…